Methods for evaluating the effectiveness of bilateral scientific and technical projects
The implementation of each bilateral scientific and technical project undoubtedly makes a significant contribution to strengthening international scientific cooperation. However, attempts to somehow measure and record this contribution face a number of questions about the mechanisms and indicators that should be taken into account to assess the effectiveness of S&T projects. The article discusses the main indicators of the implementation of scientific and technical projects and the criteria that these indicators must meet in order to be able to assess the effectiveness of project implementation. The difference between the concepts of “effectiveness” and “efficiency” is defined. The main methods for assessing the effectiveness of scientific and technical projects, such as the Technology Value Pyramid (TVP), Data Envelopment Analysis (DEA), and the meta-boundary approach, are considered. The main advantages and disadvantages of each method and the possibility of using it to evaluate the effectiveness of bilateral science and technology projects in Ukraine are identified. One of the main tasks of the system for evaluating the effectiveness of scientific and technical projects should be the ability to sufficiently predict the effectiveness of project implementation at the application stage or in the preparatory period. This is especially true for projects that receive public funding. The author emphasizes the insufficient level of research on mechanisms for assessing the effectiveness of scientific and technical projects and their impact on the development of international cooperation in general.
Authors
- S. P. Ihnatsevych (ORCID: https://orcid.org/0000-0002-0401-4325)
Institutions
- Institute of Scientific and Technical Information (CN)
Publication Details
- Journal
- Science Technologies Innovation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.35668/2520-6524-2025-2-05
- Citations
- 1
- Primary Topic
- Innovation Policy and R&D
- Type
- article
- Field-Weighted Citation Impact
- 3.13